While there is recent work in generating story endings conditioned on a context [1]}, [2]}, [3]}, such work does not require generated sentences to be strictly causes or effects. The ability to propose explanations for an input sentence by generating multiple causes and effects complements this emerging line of research. To our knowledge, this is the first work to consider open-ended generation of causal sentences at a large scale.
